We performed a comparison between Elastic Observability and Prometheus based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Elastic Observability offers comprehensive features, machine learning capabilities, and can handle custom development. In contrast, Prometheus lacks user-friendly query language, visualization tools, and customer support, even though it is flexible and has integration capabilities. Elastic Observability is cost-effective and has helped reduce incidents and overheads, while Prometheus is free but lacks some essential features. Ultimately, Elastic Observability is a more complete and economical option for application performance monitoring.
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"The most valuable feature of Elastic Observability is the text search."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"Machine learning is the most valuable feature of this solution."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"The solution allows us to dig deep into data."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"We can view and connect different sources to the dashboard using it."
"The product's initial setup phase is very easy."
"Prometheus gives us high availability automatically."
"The solution is useful to collect huge metrics."
"The most valuable feature of Prometheus is the ease of pulling the metrics."
"Stability-wise, I rate the solution a ten out of ten."
"The solution helps us to scale our products and services, and it helps me by gathering those metrics."
"The most valuable features of the solution are metrics scraping capabilities and the open source community and support."
"The most valuable feature of Prometheus is its ability to collect metrics."
"Elastic Observability needs to have better standardization, logging, and schema."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"The cost must be made more transparent."
"Elastic Observability’s price could be improved."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"There's a steep learning curve if you've never used this solution before."
"A slight alteration to the user interface should be made to increase efficiency and streamline the process. Currently, we are utilizing Prometheus to gather and compile metrics and then utilizing Grafana to display them in the form of a graph. However, I believe that Prometheus has the capability to handle both of these tasks on its own, with perhaps the addition of a supplementary plugin. By doing so, the need for utilizing two separate applications will be eliminated."
"Prometheus has a learning curve when setting it up. It definitely requires a little bit more hands-on than other solutions. It is an open source solution which means you do need to go through and read the literature that they have online for setting it up. The setup could be made easier."
"If you are not quite technical, it can be pretty hard to understand the way it works and how to query data in Prometheus."
"The product must improve its documentation."
"When it comes to deployment, if you have no experience with something like a CI/CD pipeline, it might be a challenge."
"The alert functionality is kind of lackluster."
"Prometheus requires improvement on the query side."
"There isn’t much clarity regarding the issues that happen at the server end. It is a push model and from the client’s point of view, it needs to look better and solve remote issues."
Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews while Prometheus is ranked 9th in Application Performance Monitoring (APM) and Observability with 32 reviews. Elastic Observability is rated 7.8, while Prometheus is rated 8.4. The top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". On the other hand, the top reviewer of Prometheus writes "A very flexible open box that can be used vastly to do anything you need". Elastic Observability is most compared with Dynatrace, New Relic, AppDynamics, Azure Monitor and Sentry, whereas Prometheus is most compared with Azure Monitor, New Relic, Dynatrace, Sentry and AWS X-Ray. See our Elastic Observability vs. Prometheus report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.